Cargando…

Digital competence of higher education professor according to DigCompEdu. Statistical research methods with ANOVA between fields of knowledge in different age ranges

The tasks of the university educators must be linked to the digital demands posed by the more sophisticated professions of the twenty-first century. Faced with this panorama, the objective of this study is to examine and compare the degree of digital competence of Higher Education educators from dif...

Descripción completa

Detalles Bibliográficos
Autores principales: Cabero-Almenara, Julio, Guillén-Gámez, Francisco D., Ruiz-Palmero, Julio, Palacios-Rodríguez, Antonio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7971399/
https://www.ncbi.nlm.nih.gov/pubmed/33758572
http://dx.doi.org/10.1007/s10639-021-10476-5
_version_ 1783666606246723584
author Cabero-Almenara, Julio
Guillén-Gámez, Francisco D.
Ruiz-Palmero, Julio
Palacios-Rodríguez, Antonio
author_facet Cabero-Almenara, Julio
Guillén-Gámez, Francisco D.
Ruiz-Palmero, Julio
Palacios-Rodríguez, Antonio
author_sort Cabero-Almenara, Julio
collection PubMed
description The tasks of the university educators must be linked to the digital demands posed by the more sophisticated professions of the twenty-first century. Faced with this panorama, the objective of this study is to examine and compare the degree of digital competence of Higher Education educators from different fields of knowledge and different age ranges according to the DigCompEdu framework. A non-probabilistic ex post facto sampling was utilized with 2180 university professors from Andalusia (Spain). The main results of the study provide evidence of an intermediate level of digital competence, for men and women. More specifically, the male professors in Architecture and Judicial & Social Sciences, younger and older than 40, possessed a higher level, as compared to the other fields. For the female professors, the highest level was found once again in Judicial and Social Sciences, in this case for both age ranges, without a clear trend found for the rest of the fields. For each dimension of the DigCompEdu instrument, the level of competence follows the same trend with respect to the overall level. More research is recommended to validate these preliminary results, as well as the development of training lines of action that are specific and adapted to each field of knowledge.
format Online
Article
Text
id pubmed-7971399
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Springer US
record_format MEDLINE/PubMed
spelling pubmed-79713992021-03-19 Digital competence of higher education professor according to DigCompEdu. Statistical research methods with ANOVA between fields of knowledge in different age ranges Cabero-Almenara, Julio Guillén-Gámez, Francisco D. Ruiz-Palmero, Julio Palacios-Rodríguez, Antonio Educ Inf Technol (Dordr) Article The tasks of the university educators must be linked to the digital demands posed by the more sophisticated professions of the twenty-first century. Faced with this panorama, the objective of this study is to examine and compare the degree of digital competence of Higher Education educators from different fields of knowledge and different age ranges according to the DigCompEdu framework. A non-probabilistic ex post facto sampling was utilized with 2180 university professors from Andalusia (Spain). The main results of the study provide evidence of an intermediate level of digital competence, for men and women. More specifically, the male professors in Architecture and Judicial & Social Sciences, younger and older than 40, possessed a higher level, as compared to the other fields. For the female professors, the highest level was found once again in Judicial and Social Sciences, in this case for both age ranges, without a clear trend found for the rest of the fields. For each dimension of the DigCompEdu instrument, the level of competence follows the same trend with respect to the overall level. More research is recommended to validate these preliminary results, as well as the development of training lines of action that are specific and adapted to each field of knowledge. Springer US 2021-03-18 2021 /pmc/articles/PMC7971399/ /pubmed/33758572 http://dx.doi.org/10.1007/s10639-021-10476-5 Text en © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
Cabero-Almenara, Julio
Guillén-Gámez, Francisco D.
Ruiz-Palmero, Julio
Palacios-Rodríguez, Antonio
Digital competence of higher education professor according to DigCompEdu. Statistical research methods with ANOVA between fields of knowledge in different age ranges
title Digital competence of higher education professor according to DigCompEdu. Statistical research methods with ANOVA between fields of knowledge in different age ranges
title_full Digital competence of higher education professor according to DigCompEdu. Statistical research methods with ANOVA between fields of knowledge in different age ranges
title_fullStr Digital competence of higher education professor according to DigCompEdu. Statistical research methods with ANOVA between fields of knowledge in different age ranges
title_full_unstemmed Digital competence of higher education professor according to DigCompEdu. Statistical research methods with ANOVA between fields of knowledge in different age ranges
title_short Digital competence of higher education professor according to DigCompEdu. Statistical research methods with ANOVA between fields of knowledge in different age ranges
title_sort digital competence of higher education professor according to digcompedu. statistical research methods with anova between fields of knowledge in different age ranges
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7971399/
https://www.ncbi.nlm.nih.gov/pubmed/33758572
http://dx.doi.org/10.1007/s10639-021-10476-5
work_keys_str_mv AT caberoalmenarajulio digitalcompetenceofhighereducationprofessoraccordingtodigcompedustatisticalresearchmethodswithanovabetweenfieldsofknowledgeindifferentageranges
AT guillengamezfranciscod digitalcompetenceofhighereducationprofessoraccordingtodigcompedustatisticalresearchmethodswithanovabetweenfieldsofknowledgeindifferentageranges
AT ruizpalmerojulio digitalcompetenceofhighereducationprofessoraccordingtodigcompedustatisticalresearchmethodswithanovabetweenfieldsofknowledgeindifferentageranges
AT palaciosrodriguezantonio digitalcompetenceofhighereducationprofessoraccordingtodigcompedustatisticalresearchmethodswithanovabetweenfieldsofknowledgeindifferentageranges